Forecasting Reservoir Inflow and Employing the Combined Genetics-Particle Swarming Optimization Approach for Alavian Reservoir Operation

Authors

1 College of Environmental Science and Engineering, Nankai University, China

2 Faculty of Civil Engineering, University of Tabriz

3 Faculty of Civil Engineering, University of Tabriz,

10.22034/ceej.2024.60171.2320

Abstract

Recognizing the pivotal role of water in human life, the accurate estimation of water resource potential and its optimal utilization stands as a crucial and significant concern within the water industry. Furthermore, effective planning and management of reservoirs in dams require a comprehensive understanding of river flow in the upcoming months. Hence, this study involves the prediction of inflow to the dam reservoir, followed by the extraction of the optimal control curve under various scenarios utilizing both simulation and optimization methods. The comparative results between the simulation and optimization approaches in this study hold significance in addressing the comprehensive requirements for drinking, agriculture, environment, and industry. To provide a thorough assessment of both current and future conditions, multiple scenarios, including drought, extreme drought, and normal conditions, have been considered and their outcomes have been juxtaposed.

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References

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